Evidence map›Paper›PMID 34998796›Full record

ArticleGastrointestinal endoscopy2022

External validation of a model determining risk of neoplastic progression of Barrett's esophagus in a cohort of U.S. veterans.

Theresa H Nguyen, Aaron P Thrift, Gyanprakash A Ketwaroo, Xianglin L Du, Luis Leon Novelo, Rollin George, Daniel G Rosen, Hashem B El-Serag

Abstract read
In one paragraph

Article in Gastrointestinal endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Theresa H NguyenSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
Aaron P ThriftSection of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA.
Gyanprakash A KetwarooSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Xianglin L DuDepartment of Epidemiology, The University of Texas School of Public Health, Houston, Texas, USA.
Luis Leon NoveloDepartment of Biostatistics and Data Science, The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, USA.
Rollin GeorgeSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Daniel G RosenDepartment of Pathology, Baylor College of Medicine, Houston, Texas, USA; Department of Pathology, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
Hashem B El-SeragSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.

Funding

Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
Prevention of Hepatocellular Carcinoma Related to Metabolic SyndromeP01CA263025 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag · 2022 to 2026
$8.9M
Research Training in GastroenterologyT32DK083266 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Hashem B El-Serag, FASIHA KANWAL · 2010 to 2026
$2.3M
NCI NIH HHS P01 CA263025NIDDK NIH HHS P30 DK056338NIDDK NIH HHS T32 DK083266
6 · The paper itself

Abstract

BACKGROUND AND

aimsRisk of esophageal adenocarcinoma (EAC) in those with Barrett's esophagus (BE) is 11-fold greater than the general population. It remains unclear which BE patients are at highest risk of progression to EAC. We aimed to validate a predictive model risk-stratifying BE patients.

methodsWe conducted a retrospective cohort study at the Houston Veteran Affairs Medical Center of consecutive patients with a new diagnosis of BE from November 1990 to January 2019. Study follow-up was through February 2020. Patients were excluded if they had no follow-up EGD with esophageal biopsy sampling after the initial BE-diagnosing EGD or evidence of high-grade dysplasia (HGD) or EAC on initial EGD. We performed an external validation study of a risk model containing sex, smoking, BE length, and low-grade dysplasia (LGD) status and assessed discriminatory ability using the area under the receiver operating characteristic curve (AUROC).

resultsAmong 608 BE patients, 24 progressed to HGD/EAC. The points-based model discriminated well with an AUROC of .72 (95% confidence interval [CI], .63-.82). When categorized into low-, intermediate-, and high-risk groups according to published cutoffs, the AUROC was poor at .57. Restructured into low-risk versus high-risk groups, the AUROC was .72 (95% CI, .64-.80). Excluding baseline LGD did not reduce discriminatory ability (AUROC, .73; 95% CI, .64-.82).

conclusionsThis external validation provides further evidence that the model including sex, LGD status, smoking status, and BE length may help to risk stratify BE patients. A simplified version excluding LGD status and/or reducing the number of risk groups has increased utility in clinical practice without loss of discriminatory ability.

Indexed as

Barrett EsophagusEsophageal NeoplasmsPrecancerous ConditionsVeteransAdenocarcinomaDisease ProgressionHumansHyperplasiaRetrospective StudiesRisk Factors

Identifiers

PMID34998796
PMCPMC9119926

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.